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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006031

Page Number

185-188

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Title

DDOS Attack Detection Using Machine Learning

ISSN

2349-5162

Cite This Article

"DDOS Attack Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.185-188, June-2020, Available :http://www.jetir.org/papers/JETIR2006031.pdf

Abstract

Over the last few decades, the Internet has absolutely changed the world. However, the tremendous growth of Internet brought many cyber-attacks. Distributed denial service attack is considered one of the most dangerous attacks. Distributed denial of service is a critical threat that is responsible for halting the normal functionality of services in cloud computing environments. Distributing Denial of Service attacks is categorized in the level of crucial attacks that undermine the network's functionality. These attacks have become sophisticated and continue to grow rapidly, and it has become a challenging task to detect and address these attacks contains.

Key Words

DDOS Attack, Machine Learning, Cyber Security

Cite This Article

"DDOS Attack Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp185-188, June-2020, Available at : http://www.jetir.org/papers/JETIR2006031.pdf

Publication Details

Published Paper ID: JETIR2006031
Registration ID: 233809
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 185-188
ISSN Number: 2349-5162

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Cite This Article

"DDOS Attack Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp185-188, June-2020, Available at : http://www.jetir.org/papers/JETIR2006031.pdf




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